Data Engineer

Job Context: We are seeking a senior Data Engineer to design, build, and operate scalable data pipelines and curated data assets that enable AI-driven workflows and business-critical automation. This role is focused on production-grade delivery, data quality, governance, and integration across enterprise systems, supporting outcomes such as cycle time reduction, productivity gains, cost reduction, and improved operational decisioning. The Data Engineer will work closely with architecture, platform engineering, AI engineers, and business stakeholders to ensure data is accessible, reliable, secure, and fit for operational and AI-enabled use cases. Job Responsibilities: Design and implement scalable data pipelines (batch and near real-time) to support AI and automation use cases. Build and maintain robust ingestion processes across structured, semi-structured, and unstructured sources. Implement data transformation, cleansing, validation, and quality controls aligned with enterprise standards. Provide curated, reusable datasets and interfaces to enable AI use cases, including ingestion and indexing flows used for retrieval-based AI patterns (RAG) where applicable. Define and enforce data contracts, schema management, and versioning to support reliable downstream consumption. Implement data preparation logic for RAG, including semantic chunking strategies, metadata enrichment, and approaches for handling incremental updates and re- indexing. Collaborate with AI Engineers to defin